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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kai Meng Tay Chee Peng Lim |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Computer Sciences, University of Science Malaysia, Malaysia (Chee Peng Lim) || Faculty of Engineering, Universiti Malaysia Sarawak, Sarawak, Malaysia (Kai Meng Tay) |
| Abstract | In this paper, an Evolutionary-based Similarity Reasoning (ESR) scheme for preserving the monotonicity property of the multi-input Fuzzy Inference System (FIS) is proposed. Similarity reasoning (SR) is a useful solution for undertaking the incomplete rule base problem in FIS modeling. However, SR may not be a direct solution to designing monotonic multi-input FIS models, owing to the difficulty in getting a set of monotonically-ordered conclusions. The proposed ESR scheme, which is a synthesis of evolutionary computing, sufficient conditions, and SR, provides a useful solution to modeling and preserving the monotonicity property of multi-input FIS models. A case study on Failure Mode and Effect Analysis (FMEA) is used to demonstrate the effectiveness of the proposed ESR scheme in undertaking real world problems that require the monotonicity property of FIS models. |
| Starting Page | 442 |
| Ending Page | 447 |
| File Size | 554524 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007388 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Strontium Cognition Computational modeling Sufficient conditions Genetic algorithms Optimization Mathematical model fuzzy rule interpolation Multi-input fuzzy inference system monotonicity propery similarity reasoning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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